Results 11 to 20 of about 35,097 (119)
Improved 2D Coprime Array Structure with the Difference and Sum Coarray Concept
Electronics (Switzerland), 2020 Recently, the difference and sum (diff-sum) coarray has attracted much attention in one-dimensional direction-of-arrival estimation for its high degrees-of-freedom (DOFs).
Xiaoran Li, Zesong Fei, Shiwei Ren
exaly +3 more sources
Hole Locations and a Filling Method for Coprime Planar Arrays for DOA Estimation [PDF]
IEEE Communications Letters, 2021 Coprime linear arrays (CLAs) have drawn lots ofattention. Efforts have been made to reveal the hole locations inthe difference coarrays of CLAs, based on which many methodshave been proposed to fill the holes, lengthening the consecutivedifference coarray part and increasing the effective degreesof freedom (DOFs). Compared with CLAs, two dimensional(2D)
Yide Wang, Xiao Yang, Pascal Chargé
exaly +4 more sources
ETRI Journal, 2023 In this study, the problem of blind signal separation for coprime planar arrays is investigated. For coprime planar arrays comprising two uniform rectangular subarrays, we link the signal separation to the tensor-based model called coupled canonical ...
Zhongyuan Que +2 more
doaj +2 more sources
Computationally Efficient Ambiguity-Free Two-Dimensional DOA Estimation Method for Coprime Planar Array: RD-Root-MUSIC Algorithm [PDF]
Mathematical Problems in Engineering, 2020 While the two-dimensional (2D) spectral peak search suffers from expensive computational burden in direction of arrival (DOA) estimation, we propose a reduced-dimensional root-MUSIC (RD-Root-MUSIC) algorithm for 2D DOA estimation with coprime planar array (CPA), which is computationally efficient and ambiguity-free.
Luo Chen, Changbo Ye, Baobao Li
openaire +2 more sources
2D DOA Estimation Exploiting Vertical Synthetic Planar Arrays
IEEE Access, 2021 In this paper, vertical motions of sparse linear arrays (SLAs) are utilized to generate equivalent synthetic planar arrays for two-dimensional (2D) direction-of-arrival (DOA) estimation.
Guiyu Wang, Zesong Fei, Shiwei Ren
doaj +2 more sources
Mathematical Problems in Engineering, 2019 In estimating the two‐dimensional (2D) direction‐of‐arrival (DOA) using a coprime planar array, there are problems of the limited degree of freedom (DOF) and high complexity caused by the spectral peak search. We utilize the time‐domain characteristics of signals and present a high DOF algorithm with low complexity based on the noncircular signals. The
Haiyun Xu +4 more
openaire +2 more sources
Foundry-enabled wafer-scale characterization and modeling of silicon photonic DWDM links. [PDF]
NanophotonicsAbstract AI/ML compute clusters are driving unprecedented bandwidth demands at the package boundary, motivating co‐packaged integrated photonics closely co‐located with the compute unit. We present a scalable silicon‐photonics transceiver platform and a measurement‐driven design methodology that together enable dense, energy‐efficient DWDM links ...
Parsons R +8 more
europepmc +2 more sources
L-shaped coprime array structures for DOA estimation [PDF]
, 2020 This paper proposes a new sparse array geometry for 2-D (azimuth and elevation) directionof-arrival (DOA) estimation based on coprime sampling. The proposed array structure is L-shaped coprime array (LCA) whose each portion is one dimensional coprime ...
Elbir, Ahmet Musab
core +3 more sources
Remote Sensing, 2022 In this paper, the two-dimensional (2-D) direction-of-arrival (DOA) estimation problem is explored for the sum-difference co-array (SDCA) generated by the virtual aperture expansion of co-prime planar arrays (CPPA). Since the SDCA has holes, this usually
Donghe Liu, Yongbo Zhao, Tingxiao Zhang
doaj +1 more source
Minimum Norm Method for Linear and Planar Sparse Arrays [PDF]
2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), 2021 Coprime and nested arrays are sparse arrays with enhanced degrees of freedom, which can be exploited in direction of arrival estimation using algorithms such as product processing, min processing, and MUSIC. This paper applies the minimum norm method for
K. Adhikari, Tyler M. Trosclair
semanticscholar +1 more source